Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: i) estimate a blur kernel from the blurry image, and ii) given estimated blur kernel, deconvolve blurry input to restore the target image. In this paper, we propose a graph-based blind image deblurring algorithm by interpreting an image patch as a...

August 12 3D Skeleton extraction using one Kinect camera. 2 Nowadays, it is well established that Computer Vision is used in many applications and devices. One area of huge interest is the detection and reconstruction of the human skeletal structure. In short words, the camera will identify the human parts and construct the joints of the person standing in front of it. So far, scientists have m...

Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches focus on shapes of silhouettes or the entire movement of physical ...

The goal of the study was to analyse statistically the survey of measurable parameters distinguishing human facial skeleton as well to construct mathematical model describing foetal facial skeleton selected features. The material consisted of 112 foetuses (44 females – 39.29% and 76 males – 60.71%) in the CRL: 83-245 mm, aged 4-7 months of foetal life. The whole of the examined material origina...

Image segmentation is an important process in digital image analysis, there are several algorithms to carry out this process. In work, algorithm little studied the of images defined and that also applicable processing videos biological systems, especially, cultivation microalgae Raceway bioreactors. This known as Fast Distance Transform (FDT) when operating it with morphological skeleton, capab...

This contribution describes the automatic creation of highly realistic flexible 3D models of participants for distributed 3D videoconferencing systems. The proposed technique uses a flexible mesh template surrounding an interior skeleton structure, which is based on a simplified human skeleton. The vertices of this template are arranged in rigid rings along the bones of the skeleton. Using 3D d...

A. Bone scintigraphy is a diagnostic study used to evaluate the distribution of active bone formation in the body. B. Whole-body bone scintigraphy produces planar images of the skeleton, including anterior and posterior views of the axial skeleton. Anterior and/or posterior views of the appendicular skeleton also are obtained. Additional views are obtained as needed. C. Limited bone scintigraph...

Algorithmic skeleton has received attention as an efficient method of parallel programming in recent years. Using the method, the programmer can implement parallel programs easily. In this study, a set of efficient algorithmic skeletons is introduced for use in implementing parallel genetic algorithm (PGA).A performance modelis derived for each skeleton that makes the comparison of skeletons po...

The three important tissue groups in orthognathic surgery (facial soft tissues, facial skeleton and dentition) can be referred to as a triad. This triad plays a decisive role in planning orthognathic surgery. Technological developments have led to the development of different three-dimensional (3D) technologies such as multiplanar CT and MRI scanning, 3D photography modalities and surface scann...

In this paper, we concentrate on the problem of human motion detecting from multi-view image sequences based on a modified hidden Markov model, and human motion detecting is of great importance in computer vision. Firstly, the structure of human skeleton model is given, which refers to a local coordinate system. In this model, the human bones follow the Parent-Child relationship. In particularl...